3D tomographic imaging of the southern Apennines (Italy): A statistical approach to estimate the model uncertainty and resolution

2010 ◽  
Vol 54 (3) ◽  
pp. 367-387 ◽  
Author(s):  
Raffaella De Matteis ◽  
Annalisa Romeo ◽  
Giuseppe Pasquale ◽  
Giovanni Iannaccone ◽  
Aldo Zollo
Keyword(s):  
Model Uncertainty ◽  
Statistical Approach ◽  
Tomographic Imaging ◽  
Southern Apennines

scholarly journals Method for Inferring the Design Value of the Resistance Based on Probabilistic Model

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Liuzhuo Chen ◽  
Jitao Yao ◽  
Jun Gao
Keyword(s):  
Model Uncertainty ◽  
Theoretical Basis ◽  
Statistical Approach ◽  
Probability Model ◽  
Reliability Control ◽  
Design Resistance ◽  
Design Value ◽  
Guarantee Rate ◽  
Sound Theoretical Basis ◽  
Statistical Results

Methods for inferring the design value of the resistance based on test have long been studied extensively, but the existing methods have several limitations on unified guarantee rate ensurance and reliability control. Firstly, the rationales and deficiencies of the present methods in ISO 2394 : 2015 and EN 1990 : 2002 were generalized. Secondly, in view of the disadvantages, a new inferring method combining the probability model of resistance with statistical approach was put forward. The proposed method established a relationship among design resistance, probability characteristics of known factors, and statistical results of unknown factors and possessed a rigorous and sound theoretical basis on both conditions that the coefficient of variation of model uncertainty was unknown and full known. Lastly, a contrast work was carried out between the Eurocode method and the proposed method; the results showed that the latter method had a higher inferring value, which means a better inferring result.

Thermal structure of the southern Apennines along the Val d'Agri-Bari transect

2014 ◽  
Vol 32 ◽  
pp. 3-6
Author(s):  
Stefania Candela ◽  
Stefano Mazzoli ◽  
Antonella Megna ◽  
Stefano Santini
Keyword(s):  
Thermal Structure ◽  
Southern Apennines

Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis
Keyword(s):  
Kalman Filtering ◽  
Statistical Approach ◽  
Water Systems ◽  
Data Sets ◽  
Pressure Data ◽  
Burst Event ◽  
Sample Data ◽  
Other Information ◽  
Supply Systems ◽  
Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

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